Triple

T1015294
Position Surface form Disambiguated ID Type / Status
Subject Antonio José de Sucre E21916 entity
Predicate givenName P17 FINISHED
Object Antonio E56351 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Antonio | Statement: [Antonio José de Sucre, givenName, Antonio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonio
Context triple: [Antonio José de Sucre, givenName, Antonio]
  • A. Antonio chosen
    Antonio is a masculine given name of Latin origin, widely used in Italian, Spanish, and Portuguese-speaking cultures.
  • B. Gonzalo
    Gonzalo is a masculine given name of Spanish origin, historically borne by notable figures such as conquistadors, nobles, and literary characters.
  • C. Claudio
    Claudio is a masculine given name of Italian and Spanish origin, commonly used as a variant of the name Claude.
  • D. Angelo
    Angelo is a masculine given name of Greek origin, commonly used in various cultures and often associated with the meaning "angel" or "messenger."
  • E. Renzo
    Renzo is the given name of Renzo Piano, the renowned Italian architect known for designing landmark buildings such as the Centre Pompidou in Paris and The Shard in London.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7c05060819083c51717874074c8 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3baf80348190b6909cbd1fd40cb4 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.